Accelerate Insights Unleash insights, fuel targeted campaigns, personalize customer journeys, and watch profits soar.
Lower TCO Ditch data drudgery, automate tasks, minimize data movement, simplify maintenance, and free resources for innovation.
Enhanced Developer Productivity Software engineering practices applied to data enable reuse and repeatability.
Vendor Identification for Data and Analytics Governance Platforms
Modern checks all of the critical capabilities in data governance platforms
Data and Analytics Essentials: DataOps
Modern recognized as an emerging vendor in Enterprise Data Management
Market Guide for Active Metadata Management
Modern is featured in the Gartner Market Guide for Active Metadata Management
Magic Quadrant For Data Integration
Honorable Mention
Hype Cycle for Data Management
Modern is recognized as one of the key Data Product vendors in the latest Hype Cycle for Data Management.
DataOS is recognized in the latest Thoughtworks Tech Radar for its innovative approach to enterprise data management and AI enablement. Thoughtworks, a global technology consultancy, identifies DataOS as a trend-setting solution in the evolving data landscape.
From data to decisions: DataOS is the future of business velocity, propelling you forward with lightning-fast insights and exponential value.
Data Mesh Accelerator:
Instantly enable data mesh architecture with DataOS’s intuitive platform and seamless, ready-to-deploy features.
Data driven sales accelerator:
Streamline operations and ignite sales performance with our comprehensive, CRM-independent data approach.
Industry accelerators:
Tap into bespoke data products templates, enriched with third-party data to support industry specific use-cases.
Data driven Marketing intelligence:
Transform customer understanding and campaign results with our Marketing Accelerator, driving strategic actions and optimized ROI.
Enables easy composition of governed, high-quality enterprise data products, optimized for training and contextualizing GenAl models.
Simplifies LLM implementation in enterprises by facilitating fine-tuning and enabling effective Retrieval-Augmented Generation (RAG).
Unlocks governed quantitative enterprise data through NLP, creating ready-to-use data products accessible to both humans and Al agents.